SPaRSE - Streamlined Proteomics and Robust Statistics Experiments: Optimising proteomic pipelines to increase analytical robustness, accuracy, and precision

摘要

SL-DOC is a "single-pot", cost-effective, scalable, robust and reproducible method for sample preparation in proteomics. gMAD is a suitable approach for the statistical analysis of peptide data as it is less prone to outlying data points compared to using the mean. Streamlining each step in the workflow has allowed us to optimise our relative quantitation workflow (SPARSE) Sample clean-up using EA is not easily adapted for automation and we are looking into using alternative solubilisation and clean-up methods.